Healthcare Coverage in US

import pandas as pd
import plotly.express as px
import plotly.io as pio
pio.renderers.default = 'notebook'
data = pd.read_csv("../data/clean_500.csv")

fig = px.scatter_geo(data,
                     lat='Latitude',
                     lon='Longitude',
                     size='Data_Value',
                     hover_name='CityName',
                     hover_data={
                         'StateAbbr': True,
                         'Data_Value': ':.2f',
                         'PopulationCount': True,
                         'Measure': True
                     },
                     color='Data_Value',
                     color_continuous_scale=px.colors.sequential.Teal,
                     projection='albers usa',
                     title='Health Insurance Coverage Map')

#change text pos, color, and size of the bubbles
fig.update_traces(
    textposition='top center',
    marker=dict(
        line=dict(width=0)
    )
);


fig.update_geos(
    landcolor='lightgray',
    bgcolor='white',
    projection_scale=0.95,
    center=dict(lat=37.0902, lon=-95.7129),
    showcountries=True,
    countrycolor='black',
    showsubunits=True,
    subunitcolor='black'
);

#color scale changes
fig.update_layout(
    coloraxis_colorbar=dict(
        title='Data Value (%)',
        thicknessmode='pixels', thickness=15,
        lenmode='pixels', len=200
    ),
    margin=dict(t=50, l=0, r=0, b=0),
    title=dict(
        y=0.95,
        x=0.5,
        xanchor='center',
        yanchor='top'
    )
);

#hover info
fig.update_layout(
    hoverlabel=dict(
        bgcolor="white",
        font_size=16,
        font_family="Rockwell"
    )
);

fig.show()